Evidence map›Paper›PMID 19365135›Full record

ArticleHuman heredity2009

Linkage analysis with dense SNP maps in isolated populations.

Céline Bellenguez, Carole Ober, Catherine Bourgain

Open access · bronzeAbstract read
In one paragraph

Article in Human heredity, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
2.5field-weighted citation impact, top 10% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

13 citing papers in PubMed, 18 citations in OpenAlex.

  1. Article
  2. Can whole-exome sequencing data be used for linkage analysis?European journal of human genetics : EJHG · 2016
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  10. Does inbreeding affect N-glycosylation of human plasma proteins?Molecular genetics and genomics : MGG · 2011
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors at 3 institutions in 2 countries.

Céline BellenguezUniversité Paris Sud, UMR_S535, Villejuif, France. celine.bellenguez@inserm.fr
Carole Ober
Catherine Bourgain
Inserm · FRUniversité Paris-Sud · FRUniversity of Chicago · US

Funding

T CELL CO-STIMULATION IN ALLERGIC ASTHMAP50HL056399 · NHLBI · UNIVERSITY OF CHICAGO · PI WHITE, STEVEN R · 1996 to 2005
$9.1M
Sex-Specific Genetic Architecture of Asthma-Associated Quantitative TraitsR01HL085197 · NHLBI · UNIVERSITY OF CHICAGO · PI OBER, CAROLE · 2007 to 2015
$7.6M
CHARACTERIZING A 5P-LINKED BHR SUSCEPTIBILITY LOCUSR01HL066533 · NHLBI · UNIVERSITY OF CHICAGO · PI OBER, CAROLE · 2000 to 2004
$2.4M
NHLBI NIH HHS HL56399NHLBI NIH HHS HL66533NHLBI NIH HHS HL85197NHLBI NIH HHS P50 HL056399NHLBI NIH HHS R01 HL066533NHLBI NIH HHS R01 HL085197
6 · The paper itself

Abstract

objectiveSNP maps are becoming the gold standard for genetic markers, even for linkage analyses. However, because of the density of SNPs on most high throughput platforms, the resulting significant linkage disequilibrium (LD) can bias classical nonparametric multipoint linkage analyses. This problem may be even stronger in population isolates where LD can extend over larger distances and with a more stochastic pattern. We investigate the issue of linkage analysis with SNPs from the Affymetrix 500K GeneChip array in extended families from the isolated Hutterite population.

methodsWe minimized LD between SNPs by two methods based on a LD block pattern (Merlin and SNPLINK) and by MASEL, a new algorithm that we proposed to select SNP subsets with minimum LD and with no prior hypothesis about the LD pattern.

resultsSimulations, performed using the real LD pattern observed in the Hutterite population, show that sizeable inflation of linkage statistics persist when LD between SNPs is minimized by Merlin and SNPLINK. Inflation of linkage statistics is better controlled with MASEL.

conclusionIn this population, it may be difficult to extract from standard GeneChip arrays a SNP map without LD-driven bias that is more informative than a dense microsatellite map.

Indexed as

Genetic LinkagePolymorphism, Single NucleotideProtestantismSocial IsolationAlgorithmsHumans

Identifiers

PMID19365135
PMCPMC2787184
OpenAlexW2046790669

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.